Objectives: This survey aims to provide an overview of the current state of biomedical and
clinical Natural Language Processing (NLP) research and practice in Languages other than …

Abstract Natural Language Processing (NLP) based on new deep learning technology is
contributing to the emergence of powerful solutions that help healthcare providers and …

Resolving the scope of a negation within a sentence is a challenging NLP task. The
complexity of legal texts and the lack of annotated in-domain negation corpora pose …

Pre-trained multilingual models, such as mBERT, XLM-R and mT5, are used to improve the
performance on various tasks in low-resource languages via cross-lingual transfer. In this …

Sentiment analysis is a task in natural language processing that focuses on identifying and
categorizing emotions expressed in text. Despite the remarkable predictive performance …

In this paper, we revisit the task of negation resolution, which includes the subtasks of cue
detection (eg" not"," never") and scope resolution. In the context of previous shared tasks, a …

A significant aspect of language is the ability to negate, which is also an essential part of the
process of extracting information from written text. The fields of finance, healthcare, and …

Despite the fact that the Spanish language is the second most spoken language in the
world, research about AI and sentiment analysis is few compared with English language as …

Linguistics as a science is concerned with classifying languages according to different
properties in order to understand how language works. There are several well-known ways …

2.1 Examples of common challenges in processing clinical narrative.. 30 2.2 The languages
for labelled corpora used among the included articles in the literature review of Wu et …